At SER 2019, the Cassel lecture was delivered by Miguel Hernán and Sandro Galea on the topic of reconciling social epidemiology and causal inference. Their talk was turned into a paper in the American Journal of Epidemiology, and in March 2020, was published along with a series of responses by Drs. Enrique Schisterman, Whitney Robinson and Zinzi Bailey, Tyler VanderWeele, and John Jackson and Onyebuchi Arah. In this SERious Epi bonus journal club episode, we had conversation with Dr. John Jackson and Dr. Onyebuchi Arah about their commentary and had the opportunity to ask their thoughts on the other topics published in that issue.
Links:
Win-Win: Reconciling Social Epidemiology and Causal Inference by Sandro Galea and Miguel A Hernán
https://doi.org/10.1093/aje/kwz158
Editorial: Let’s Be Causally Social by Enrique F Schisterman
https://doi.org/10.1093/aje/kwz237
Invited Commentary: What Social Epidemiology Brings to the Table—Reconciling Social Epidemiology and Causal Inference by Whitney R Robinson, Zinzi D Bailey
https://doi.org/10.1093/aje/kwz197
Invited Commentary: Counterfactuals in Social Epidemiology—Thinking Outside of “the Box”
https://doi.org/10.1093/aje/kwz198
Invited Commentary: Making Causal Inference More Social and (Social) Epidemiology More Causal by John W Jackson and Onyebuchi A Arah
https://doi.org/10.1093/aje/kwz199
Galea and Hernán Respond to “Brings to the Table,” “Differential Measurement Error,” and “Causal Inference in Social Epidemiology”
https://doi.org/10.1093/aje/kwz201